Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Minimum spanning tree based graph neural network for emotion classification using EEG
Hanjie Liu, Jinren Zhang, Qingshan Liu, et al.
Neural Networks (2021) Vol. 145, pp. 308-318
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

EEG emotion recognition using improved graph neural network with channel selection
Xuefen Lin, Jielin Chen, Weifeng Ma, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107380-107380
Closed Access | Times Cited: 60
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Yanbu Guo, Dongming Zhou, Xiaoli Ruan, et al.
Neural Networks (2023) Vol. 165, pp. 491-505
Closed Access | Times Cited: 55
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 43
Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 19
EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods
Dominik Klepl, Fei He, Min Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2651-2660
Open Access | Times Cited: 41
ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition
Cunhang Fan, Heng Xie, Jianhua Tao, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105422-105422
Closed Access | Times Cited: 30
A multi-head residual connection GCN for EEG emotion recognition
Xiangkai Qiu, Shenglin Wang, Ruqing Wang, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107126-107126
Closed Access | Times Cited: 16
Efficient graph convolutional networks for seizure prediction using scalp EEG
Manhua Jia, Wenjian Liu, Junwei Duan, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 27
EEG-based emotion recognition for road accidents in a simulated driving environment
Jielin Chen, Xuefen Lin, Weifeng Ma, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105411-105411
Closed Access | Times Cited: 13
Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks
Jinren Zhang, Jinde Cao, Wei Huang, et al.
Neural Networks (2022) Vol. 157, pp. 26-38
Open Access | Times Cited: 21
A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG
Mahfuza Akter Maria, M. A. H. Akhand, A. B. M. Aowlad Hossain, et al.
IEEE Access (2023) Vol. 11, pp. 37809-37831
Open Access | Times Cited: 12
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data
Dominik Klepl, Fei He, Min Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3978-3987
Open Access | Times Cited: 11
Emotion Recognition Based on EEG Signals and Eye Movement Signals
澳 李
Modeling and Simulation (2025) Vol. 14, Iss. 01, pp. 1244-1252
Closed Access
A hybrid clustering and boosting tree feature selection (CBTFS) method for credit risk assessment with high-dimensionality
Jianxin Zhu, Xiong Wu, Lean Yu, et al.
Technological and Economic Development of Economy (2025), pp. 1-33
Open Access
A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack
Zhuoxuan Li, Iakov Korovin, Xinli Shi, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 10, pp. 1918-1932
Open Access | Times Cited: 5
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks
Guanghao Chen, Sancheng Peng, Rong Zeng, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 3, pp. 245-256
Open Access | Times Cited: 8
TRELM-DROP: An impavement non-iterative algorithm for traffic flow forecast
Yuwei Yang, Zhuoxuan Li, Jun Chen, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 633, pp. 129337-129337
Closed Access | Times Cited: 4
Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs
Chengye Zhang, Zhuoxuan Li, Jinde Cao, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124184-124184
Closed Access | Times Cited: 1
Attention-guided graph structure learning network for EEG-enabled auditory attention detection
Xianzhang Zeng, Siqi Cai, Longhan Xie
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036025-036025
Closed Access | Times Cited: 1
Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications
Xinjun Pei, Xiaoheng Deng, Naixue Xiong, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 5, pp. 4990-5007
Closed Access | Times Cited: 1
Emotion recognition of EEG signals based on contrastive learning graph convolutional model
Yiling Zhang, Yuan Liao, Wei Chen, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 046060-046060
Closed Access | Times Cited: 1
Exploring Non-Euclidean Approaches: A Comprehensive Survey on Graph-Based Techniques for EEG Signal Analysis
Harish C. Bhandari, Yagya Raj Pandeya, Kanhaıya Jha, et al.
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 10, pp. 1089-1105
Open Access | Times Cited: 1
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
Yanbu Guo, Chaoyang Li, Dongming Zhou, et al.
Neural Networks (2022) Vol. 152, pp. 287-299
Closed Access | Times Cited: 7
EEG-based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods
Dominik Klepl, Fei He, Min Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
Jinxiao Dai, Xugang Xi, Ge Li, et al.
Brain Sciences (2022) Vol. 12, Iss. 8, pp. 977-977
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top